Senior Data Science Engineer
Tasks
- Automate model retraining and versioning
- Build real time model serving pipelines
- Convert business objectives into model features
- Design machine learning prediction models for production
- Implement feature stores in real time
- Integrate MLOps practices for experiment tracking and registry
- Monitor production models for concept drift
- Optimize model performance and latency
- Train and deploy neural networks
- Use CI CD for machine learning workflows
Perks/Benefits
Skills/Tech-stack
CI/CD | Concept drift | Deep learning | Docker | Feature Store | Inference Server | Knowledge Distillation | Kubeflow | Kubernetes | MLOps | MLflow | Machine Learning | Model Optimization | Model versioning | Neural Networks | ONNX | Pruning | PyTorch | Python | Quantization | Retraining | TensorFlow | TensorFlow Serving | Torchserve | Triton Inference | Triton Inference Server
Education
N/A
Regions
Countries
States
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